• Acta Physica Sinica
  • Vol. 69, Issue 8, 080202-1 (2020)
Jin-Lian Ren, Rong-Rong Jiang, Wei-Gang Lu, and Tao Jiang1、1、*
Author Affiliations
  • 1School of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225002, China
  • 1School of Mathematical Sciences, Yangzhou University, Yangzhou 225002, China
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    DOI: 10.7498/aps.69.20191829 Cite this Article
    Jin-Lian Ren, Rong-Rong Jiang, Wei-Gang Lu, Tao Jiang. Simulation of nonlinear Cahn-Hilliard equation based on local refinement pure meshless method[J]. Acta Physica Sinica, 2020, 69(8): 080202-1 Copy Citation Text show less
    Comparisons between the present numerical results and analytical solutions with different times under the uniform and local refinement particle distributions.
    Fig. 1. Comparisons between the present numerical results and analytical solutions with different times under the uniform and local refinement particle distributions.
    The numerical convergence versus time under different particle numbers.
    Fig. 2. The numerical convergence versus time under different particle numbers.
    Different cases of particle distributions: (a) Uniform case; (b) local refinement case; (c) non-uniform case.
    Fig. 3. Different cases of particle distributions: (a) Uniform case; (b) local refinement case; (c) non-uniform case.
    The present numerical results under the uniform and local refinement particle distributions.
    Fig. 4. The present numerical results under the uniform and local refinement particle distributions.
    The numerical results obtained using FDM and LR-FPM at different times with .
    Fig. 5. The numerical results obtained using FDM and LR-FPM at different times with .
    The present numerical results under uniform and local refinement particle distributions at , t = 0.2 s.
    Fig. 6. The present numerical results under uniform and local refinement particle distributions at , t = 0.2 s.
    The FPM result at .
    Fig. 7. The FPM result at .
    The contour results obtained using the present method and the numerical results in ref.[11] at : (a) Numerical results in [11]; (b)−(d) present numerical results
    Fig. 8. The contour results obtained using the present method and the numerical results in ref.[11] at : (a) Numerical results in [11]; (b)−(d) present numerical results
    The numerical convergence obtained using the present method under different particle distributions at .
    Fig. 9. The numerical convergence obtained using the present method under different particle distributions at .
    粒子间距误差E2收敛阶
    ${d_0} = {\text{π}}/16$1.9623 × 10–4
    ${d_0} = {\text{π}}/32$4.8081 × 10–52.03
    ${d_0} = {\text{π}}/64$1.0688 × 10–52.16
    Table 1. The L2-norm error and convergence rate at .
    $t$均匀分布局部加密
    0.12.2976 × 10–59.7058 × 10–6
    0.33.4419 × 10–52.5119 × 10–5
    0.54.8081 × 10–54.3028 × 10–5
    Table 2. The L2-norm error at different times under the uniform and local refinement particle distributions.
    $t$五次样条核函数高斯核函数
    0.0010.00820.0107
    0.0050.01860.0243
    0.0100.02070.0272
    Table 3. The L2-norm error with quintic spline kernel and gaussian kernel functions at .
    粒子间距${E_2}$收敛阶
    ${d_0} = 1/20$0.0332
    ${d_0} = 1/40$0.00782.09
    ${d_0} = 1/{\rm{6}}0$0.00322.20
    Table 4. The L2-norm error and convergence rate at .
    $t$均匀分布局部加密非均匀分布
    0.0010.00820.00490.0089
    0.0050.01860.01240.0150
    0.0100.02070.01840.0233
    Table 5. The L2-norm error at different times under the uniform, local refinement, and non-uniform particle distributions.
    粒子间距${E_2}$收敛阶
    ${d_0} = 1/20$0.0251
    ${d_0} = 1/30$0.01141.95
    ${d_0} = 1/40$0.00632.06
    Table 6. The L2-norm error and convergence rate at t = 0.01 s under non-uniform particle distribution.
    Jin-Lian Ren, Rong-Rong Jiang, Wei-Gang Lu, Tao Jiang. Simulation of nonlinear Cahn-Hilliard equation based on local refinement pure meshless method[J]. Acta Physica Sinica, 2020, 69(8): 080202-1
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